The memory-extraction prompt concatenated its instructions, few-shot
examples, and the user message into a single user turn, so a small local
model could not distinguish instructions from input and frequently echoed
the Globex/weather examples instead of extracting facts.
Send the instructions as a real system turn and the raw text as the user
turn. The tiny worker protocol gains a systemPrompt field, and Mnemopi
completion input carries task metadata so the backend selects the right
prompt per call.
Drop the code-built MEMORY_EXTRACTION_TEMPLATE rather than porting it:
prompt text belongs in .md files, and resolveMemoryCompletionInput already
overrides that template for every extraction call, so Mnemopi rendered it
only for the result to be discarded.
Measured on ONNX q4 CPU, LFM2.5-1.2B memory extraction improved from 1/8
to 5/8 once the roles were separated.
Sunil Srivatsa